• ISSN: 2301-3567 (Print), 2972-3981 (Online)
    • Abbreviated Title: J. Econ. Bus. Manag.
    • Frequency: Quarterly
    • DOI: 10.18178/JOEBM
    • Editor-in-Chief: Prof. Eunjin Hwang
    • Executive Editor: Ms. Fiona Chu
    • Abstracting/ Indexing:  CNKI, Google Scholar, Electronic Journals Library, Crossref, Ulrich's Periodicals Directory, MESLibrary, etc.
    • E-mail: joebm.editor@gmail.com
HOME > Archive > 2016 > Volume 4 Number 3 (Mar. 2016) >
JOEBM 2016 Vol.4(3): 178-182 ISSN: 2301-3567
DOI: 10.7763/JOEBM.2016.V4.387

Empirical Investigation of Growth Opportunity in Information Technology and Oil and Gas Industries

Ruchi Kulkarni, Balasundram Maniam, and Geetha Subramaniam

Abstract— A growth opportunity is an investment or project that has the potential to grow significantly, leading to profits for the investor. New investments are often presented to potential investors as growth opportunities. The objective of this study is to use a multiple regression model to observe the impact of firm size, financial leverage, and R&D investment in generating growth opportunities in Information Technology and Oil and Gas Industries. This study uses yearly data from 1999 to 2012, collected from S&P Research Insight. It is hypothesized that firm size, firm’s debt level and investments in research and development play a crucial role in the growth opportunities of these two industries. The results provide some clues about which of these variables are important in the growth opportunities of these two industries.

Index Terms— Growth opportunity, information technology industry, oil and gas industry.

Ruchi Kulkarni is with the Ecolab Company, Texas, USA (e-mail: gba_bxm@shsu.edu).
Balasundram Maniam is with the Sam Houston State University, Texas, USA (e-mail: maniam@shsu.edu).
Geetha Subramaniam is with the Universiti Teknologi Mara, Shah Alam, Malaysia (e-mail: geethamaniam@gmail.com).

[PDF]

Cite: Ruchi Kulkarni, Balasundram Maniam, and Geetha Subramaniam, " Empirical Investigation of Growth Opportunity in Information Technology and Oil and Gas Industries," Journal of Economics, Business and Management vol. 4, no. 3, pp. 178-182, 2016.

PREVIOUS PAPER
First page
NEXT PAPER
Stock Market Prediction Based on Term Frequency-Inverse Document Frequency
Copyright © 2008-2024. Journal of Economics, Business and Management. All rights reserved.
E-mail: joebm.editor@gmail.com